← Search

Joon Kim

2 accepted papers

2020

PLLay: Efficient Topological Layer based on Persistent Landscapes

NeurIPS 2020poster

We propose PLLay, a novel topological layer for general deep learning models based on persistence landscapes, in which we can efficiently exploit the underlying topological features of the input data structure. In this work, we show differentiability with respect to layer inputs, for a general persi…

2018

Representer Point Selection for Explaining Deep Neural Networks

NeurIPS 2018poster

We propose to explain the predictions of a deep neural network, by pointing to the set of what we call representer points in the training set, for a given test point prediction. Specifically, we show that we can decompose the pre-activation prediction of a neural network into a linear combination of…